Multivariate Rank Discriminant Classifier of Small Sample

Authors

  • Evelyn Nkiruka Okonkwo
  • Joseph Uchenna Okeke
  • Sidney I. Onyeagu

Keywords:

Data depth, Spatial or L1 depth, linear discriminant analysis, nonparametric discriminant analysis, Probability of misclassification (PMC)

Abstract

This article studied discriminant analysis procedure that is based on multivariate ranking with emphasis on Spatial or L1 depth classifier using Eviews and SPSS computer packages. The performance of the classifier is assessed using both simulated and real life data. The result of the study revealed that the classifier is optimal in classifying observations into one of the two pre-defined groups.

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Published

2015-02-25

How to Cite

Okonkwo, E. N., Okeke, J. U., & Onyeagu, S. I. (2015). Multivariate Rank Discriminant Classifier of Small Sample. International Journal of Sciences: Basic and Applied Research (IJSBAR), 20(2), 165–172. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/1774

Issue

Vol. 20 No. 2 (2015)

Section

Articles

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